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makenotion
by makenotion

API-get-self

Retrieve your bot user token from the Notion API to enable AI assistants to interact with Notion workspaces via natural language commands.

Instructions

Notion | Retrieve your token's bot user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Generic MCP tool call handler that dispatches 'API-get-self' (and all API tools) to the corresponding OpenAPI operation via HTTP client execution.
    // Handle tool calling
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      const { name, arguments: params } = request.params
    
      // Find the operation in OpenAPI spec
      const operation = this.findOperation(name)
      if (!operation) {
        throw new Error(`Method ${name} not found`)
      }
    
      try {
        // Execute the operation
        const response = await this.httpClient.executeOperation(operation, params)
    
        // Convert response to MCP format
        return {
          content: [
            {
              type: 'text', // currently this is the only type that seems to be used by mcp server
              text: JSON.stringify(response.data), // TODO: pass through the http status code text?
            },
          ],
        }
      } catch (error) {
        console.error('Error in tool call', error)
        if (error instanceof HttpClientError) {
          console.error('HttpClientError encountered, returning structured error', error)
          const data = error.data?.response?.data ?? error.data ?? {}
          return {
            content: [
              {
                type: 'text',
                text: JSON.stringify({
                  status: 'error', // TODO: get this from http status code?
                  ...(typeof data === 'object' ? data : { data: data }),
                }),
              },
            ],
          }
        }
        throw error
      }
    })
  • Executes the HTTP request for the OpenAPI operation corresponding to 'API-get-self' using openapi-client-axios.
    async executeOperation<T = any>(
      operation: OpenAPIV3.OperationObject & { method: string; path: string },
      params: Record<string, any> = {},
    ): Promise<HttpClientResponse<T>> {
      const api = await this.api
      const operationId = operation.operationId
      if (!operationId) {
        throw new Error('Operation ID is required')
      }
    
      // Handle file uploads if present
      const formData = await this.prepareFileUpload(operation, params)
    
      // Separate parameters based on their location
      const urlParameters: Record<string, any> = {}
      const bodyParams: Record<string, any> = formData || { ...params }
    
      // Extract path and query parameters based on operation definition
      if (operation.parameters) {
        for (const param of operation.parameters) {
          if ('name' in param && param.name && param.in) {
            if (param.in === 'path' || param.in === 'query') {
              if (params[param.name] !== undefined) {
                urlParameters[param.name] = params[param.name]
                if (!formData) {
                  delete bodyParams[param.name]
                }
              }
            }
          }
        }
      }
    
      // Add all parameters as url parameters if there is no requestBody defined
      if (!operation.requestBody && !formData) {
        for (const key in bodyParams) {
          if (bodyParams[key] !== undefined) {
            urlParameters[key] = bodyParams[key]
            delete bodyParams[key]
          }
        }
      }
    
      const operationFn = (api as any)[operationId]
      if (!operationFn) {
        throw new Error(`Operation ${operationId} not found`)
      }
    
      try {
        // If we have form data, we need to set the correct headers
        const hasBody = Object.keys(bodyParams).length > 0
        const headers = formData
          ? formData.getHeaders()
          : { ...(hasBody ? { 'Content-Type': 'application/json' } : { 'Content-Type': null }) }
        const requestConfig = {
          headers: {
            ...headers,
          },
        }
    
        // first argument is url parameters, second is body parameters
        const response = await operationFn(urlParameters, hasBody ? bodyParams : undefined, requestConfig)
    
        // Convert axios headers to Headers object
        const responseHeaders = new Headers()
        Object.entries(response.headers).forEach(([key, value]) => {
          if (value) responseHeaders.append(key, value.toString())
        })
    
        return {
          data: response.data,
          status: response.status,
          headers: responseHeaders,
        }
      } catch (error: any) {
        if (error.response) {
          console.error('Error in http client', error)
          const headers = new Headers()
          Object.entries(error.response.headers).forEach(([key, value]) => {
            if (value) headers.append(key, value.toString())
          })
    
          throw new HttpClientError(error.response.statusText || 'Request failed', error.response.status, error.response.data, headers)
        }
        throw error
      }
  • Generates the input schema and method definition for each OpenAPI operation, used for 'get-self' tool schema.
    private convertOperationToMCPMethod(operation: OpenAPIV3.OperationObject, method: string, path: string): NewToolMethod | null {
      if (!operation.operationId) {
        console.warn(`Operation without operationId at ${method} ${path}`)
        return null
      }
    
      const methodName = operation.operationId
    
      const inputSchema: IJsonSchema & { type: 'object' } = {
        $defs: this.convertComponentsToJsonSchema(),
        type: 'object',
        properties: {},
        required: [],
      }
    
      // Handle parameters (path, query, header, cookie)
      if (operation.parameters) {
        for (const param of operation.parameters) {
          const paramObj = this.resolveParameter(param)
          if (paramObj && paramObj.schema) {
            const schema = this.convertOpenApiSchemaToJsonSchema(paramObj.schema, new Set(), false)
            // Merge parameter-level description if available
            if (paramObj.description) {
              schema.description = paramObj.description
            }
            inputSchema.properties![paramObj.name] = schema
            if (paramObj.required) {
              inputSchema.required!.push(paramObj.name)
            }
          }
        }
      }
    
      // Handle requestBody
      if (operation.requestBody) {
        const bodyObj = this.resolveRequestBody(operation.requestBody)
        if (bodyObj?.content) {
          // Handle multipart/form-data for file uploads
          // We convert the multipart/form-data schema to a JSON schema and we require
          // that the user passes in a string for each file that points to the local file
          if (bodyObj.content['multipart/form-data']?.schema) {
            const formSchema = this.convertOpenApiSchemaToJsonSchema(bodyObj.content['multipart/form-data'].schema, new Set(), false)
            if (formSchema.type === 'object' && formSchema.properties) {
              for (const [name, propSchema] of Object.entries(formSchema.properties)) {
                inputSchema.properties![name] = propSchema
              }
              if (formSchema.required) {
                inputSchema.required!.push(...formSchema.required!)
              }
            }
          }
          // Handle application/json
          else if (bodyObj.content['application/json']?.schema) {
            const bodySchema = this.convertOpenApiSchemaToJsonSchema(bodyObj.content['application/json'].schema, new Set(), false)
            // Merge body schema into the inputSchema's properties
            if (bodySchema.type === 'object' && bodySchema.properties) {
              for (const [name, propSchema] of Object.entries(bodySchema.properties)) {
                inputSchema.properties![name] = propSchema
              }
              if (bodySchema.required) {
                inputSchema.required!.push(...bodySchema.required!)
              }
            } else {
              // If the request body is not an object, just put it under "body"
              inputSchema.properties!['body'] = bodySchema
              inputSchema.required!.push('body')
            }
          }
        }
      }
    
      // Build description including error responses
      let description = operation.summary || operation.description || ''
      if (operation.responses) {
        const errorResponses = Object.entries(operation.responses)
          .filter(([code]) => code.startsWith('4') || code.startsWith('5'))
          .map(([code, response]) => {
            const responseObj = this.resolveResponse(response)
            let errorDesc = responseObj?.description || ''
            return `${code}: ${errorDesc}`
          })
    
        if (errorResponses.length > 0) {
          description += '\nError Responses:\n' + errorResponses.join('\n')
        }
      }
    
      // Extract return type (response schema)
      const returnSchema = this.extractResponseType(operation.responses)
    
      // Generate Zod schema from input schema
      try {
        // const zodSchemaStr = jsonSchemaToZod(inputSchema, { module: "cjs" })
        // console.log(zodSchemaStr)
        // // Execute the function with the zod instance
        // const zodSchema = eval(zodSchemaStr) as z.ZodType
    
        return {
          name: methodName,
          description,
          inputSchema,
          ...(returnSchema ? { returnSchema } : {}),
        }
      } catch (error) {
        console.warn(`Failed to generate Zod schema for ${methodName}:`, error)
        // Fallback to a basic object schema
        return {
          name: methodName,
          description,
          inputSchema,
          ...(returnSchema ? { returnSchema } : {}),
        }
      }
    }
  • Registers all generated tools for listing, constructing names like 'API-get-self' from toolName ('API') and method.name ('get-self').
    this.server.setRequestHandler(ListToolsRequestSchema, async () => {
      const tools: Tool[] = []
    
      // Add methods as separate tools to match the MCP format
      Object.entries(this.tools).forEach(([toolName, def]) => {
        def.methods.forEach(method => {
          const toolNameWithMethod = `${toolName}-${method.name}`;
          const truncatedToolName = this.truncateToolName(toolNameWithMethod);
          tools.push({
            name: truncatedToolName,
            description: method.description,
            inputSchema: method.inputSchema as Tool['inputSchema'],
          })
        })
      })
    
      return { tools }
    })
  • Generates the list of MCP tools from OpenAPI paths/operations, naming them 'API-{operationId}' (e.g., 'API-get-self') and storing lookup for dispatch.
    const apiName = 'API'
    
    const openApiLookup: Record<string, OpenAPIV3.OperationObject & { method: string; path: string }> = {}
    const tools: Record<string, { methods: NewToolMethod[] }> = {
      [apiName]: { methods: [] },
    }
    const zip: Record<string, { openApi: OpenAPIV3.OperationObject & { method: string; path: string }; mcp: NewToolMethod }> = {}
    for (const [path, pathItem] of Object.entries(this.openApiSpec.paths || {})) {
      if (!pathItem) continue
    
      for (const [method, operation] of Object.entries(pathItem)) {
        if (!this.isOperation(method, operation)) continue
    
        const mcpMethod = this.convertOperationToMCPMethod(operation, method, path)
        if (mcpMethod) {
          const uniqueName = this.ensureUniqueName(mcpMethod.name)
          mcpMethod.name = uniqueName
          mcpMethod.description = this.getDescription(operation.summary || operation.description || '')
          tools[apiName]!.methods.push(mcpMethod)
          openApiLookup[apiName + '-' + uniqueName] = { ...operation, method, path }
          zip[apiName + '-' + uniqueName] = { openApi: { ...operation, method, path }, mcp: mcpMethod }
        }
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It implies a read operation ('retrieve') but doesn't disclose behavioral traits such as authentication requirements, rate limits, error conditions, or response format. For a tool with zero annotation coverage, this minimal description fails to provide necessary operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads key information: platform (Notion), action (retrieve), and resource (bot user). There is no wasted verbiage, and every word earns its place by specifying the tool's unique scope.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and a simple zero-parameter design, the description is incomplete. It lacks details on what the bot user data includes, how it's returned, or any side effects. For a tool that likely returns user identity information, more context on the response structure or use cases would be helpful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description adds no parameter information, which is appropriate here. Baseline is 4 for zero parameters, as no compensation is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Notion | Retrieve your token's bot user' clearly states the action (retrieve) and resource (bot user) with platform context (Notion). It distinguishes from siblings like API-get-user or API-get-users by specifying 'bot user' rather than general users. However, it doesn't explicitly contrast with all sibling tools, keeping it from a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., token authentication), use cases (e.g., verifying bot identity), or exclusions (e.g., not for retrieving human users). With siblings like API-get-user available, this lack of context leaves the agent guessing about appropriate usage scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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